Network Compression Applications

Compress a deep neural network by performing quantization, learnables compression, or pruning

Generate code for deep learning networks with reduced memory footprint and computational requirements.

Featured Examples

Generate INT8 Code for Deep Learning Network on Raspberry Pi

Generate code for deep learning network that performs inference computations in 8-bit integers.

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Generate INT8 Code for Deep Learning Network on Cortex-M Target

Generate code for deep learning network that performs inference computations in 8-bit integers.

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Prune Filters in a Detection Network Using Taylor Scores

Reduce network size and increase inference speed by pruning convolutional filters in a you only look once (YOLO) v3 object detection network.

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Code Generation for Sequence-to-Sequence Classification with Learnables Compression

Generate code for LSTM network with learnables compression.

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Compress Image Classification Network for Deployment to Resource-Constrained Embedded Devices

Reduce the memory footprint and computation requirements of an image classification network for deployment on resource constrained embedded devices such as the Raspberry Pi™.

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